1403/01/09
جمال قاسمی

جمال قاسمی

مرتبه علمی: دانشیار
ارکید:
تحصیلات: دکترای تخصصی
اسکاپوس:
دانشکده: دانشکده مهندسی و فناوری
نشانی:
تلفن: 01135302902

مشخصات پژوهش

عنوان
Control the position of a fluid sip by neural network controller
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Syringe Pump Micro Syringe Pump Control Intelligent Controller Artificial Neural Network
سال
2022
مجله Biomedical Signal Processing and Control
شناسه DOI
پژوهشگران Alireza Dehghani ، Jamal Ghasemi

چکیده

Determining the position of a fluid sip within an injection set, is one of the most important discussions in nanotechnology and biological experiments. The position of the sip is controlled by micro syringe pump and depends on the displacement of syringe’s piston and the air pressure between the piston and sip. The position of syringe’s piston is determined by the controller according to the reference value. In this article, an intelligent controller based on artificial neural network is used in order to control the position of a fluid sip by a micro syringe pump. Given that the syringe’s model is nonlinear, a nonlinear neural network is used. For modeling, the position of syringe’s piston is considered as the system input and accordingly, the position of a fluid sip inside the injection set is controlled. The results indicate that the intelligent controller has a reliable performance in nonlinear control of the syringe, and the error signal …